scholarly journals Electrophysiological differentiation of phonological and semantic integration in word and sentence contexts

2007 ◽  
Vol 1146 ◽  
pp. 85-100 ◽  
Author(s):  
Michele T. Diaz ◽  
Tamara Y. Swaab
Keyword(s):  
Semantic Integration ◽  
Electrophysiological Differentiation

Formalization and Semantic Integration of Heterogeneous Omics Annotations for Exploratory Searches

2020 ◽  
Vol 15 ◽  
Author(s):  
Omer Irshad ◽  
Muhammad Usman Ghani Khan
Keyword(s):  
Data Integration ◽  
Semantic Integration ◽  
Biological Data ◽  
Cellular System ◽  
Formal Specifications ◽  
Integration Model ◽  
Geographically Dispersed ◽  
Proposed Model ◽  
Data Heterogeneity ◽  
Biological Entities

Aim: To facilitate researchers and practitioners for unveiling the mysterious functional aspects of human cellular system through performing exploratory searching on semantically integrated heterogeneous and geographically dispersed omics annotations. Background: Improving health standards of life is one of the motives which continuously instigates researchers and practitioners to strive for uncovering the mysterious aspects of human cellular system. Inferring new knowledge from known facts always requires reasonably large amount of data in well-structured, integrated and unified form. Due to the advent of especially high throughput and sensor technologies, biological data is growing heterogeneously and geographically at astronomical rate. Several data integration systems have been deployed to cope with the issues of data heterogeneity and global dispersion. Systems based on semantic data integration models are more flexible and expandable than syntax-based ones but still lack aspect-based data integration, persistence and querying. Furthermore, these systems do not fully support to warehouse biological entities in the form of semantic associations as naturally possessed by the human cell. Objective: To develop aspect-oriented formal data integration model for semantically integrating heterogeneous and geographically dispersed omics annotations for providing exploratory querying on integrated data. Method: We propose an aspect-oriented formal data integration model which uses web semantics standards to formally specify its each construct. Proposed model supports aspect-oriented representation of biological entities while addressing the issues of data heterogeneity and global dispersion. It associates and warehouses biological entities in the way they relate with Result: To show the significance of proposed model, we developed a data warehouse and information retrieval system based on proposed model compliant multi-layered and multi-modular software architecture. Results show that our model supports well for gathering, associating, integrating, persisting and querying each entity with respect to its all possible aspects within or across the various associated omics layers. Conclusion: Formal specifications better facilitate for addressing data integration issues by providing formal means for understanding omics data based on meaning instead of syntax

Analysis of 4 Single-Nucleotide Polymorphisms in Relation to Cervical Dysplasia and Cancer Development Using a High-Throughput Ligation-Detection Reaction Procedure

2011 ◽  
Vol 21 (9) ◽  
pp. 1664-1671 ◽  
Author(s):  
Helmut von Keyserling ◽  
Thomas Bergmann ◽  
Miriam Schuetz ◽  
Ursula Schiller ◽  
Jonas Stanke ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Single Nucleotide Polymorphisms ◽  
Genetic Markers ◽  
Cervical Dysplasia ◽  
Semantic Integration ◽  
Cancer Development ◽  
Large Sample Size ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genetic Characteristics

BackgroundHost genetic characteristics and environmental factors may correlate with risk for cervical cancer development. Here we describe a retrospective screening study for single nucleotide polymorphisms (SNPs) in genetic markersTP53, MTHFR, CYP1A1,andCYP2E1in 749 patients.MethodsA multiplex ligation-dependent polymerase chain reaction approach was applied. We used archived material from human papillomavirus tests and correlated SNP genotypes to the corresponding clinical data. Semantic integration was used to identify and evaluate the clinical status from electronic health records.ResultsAn association with cervical cancer and high-grade dysplasia was found for the rare homozygous CC genotype (rs4646903) inCYP1A1(odds ratio [OR], 8.862). Odds ratios were also significantly elevated for heterozygousMTHFRCT genotype (rs1801133; OR, 1.457). No significant association was found inTP53(rs1042522) andCYP2E1(rs3813867). In addition, we found smokers at higher risk (OR, 2.688) and identified pregnancies as a significant risk factor (OR, 1.54).ConclusionsOur protocol enables a feasible way for further retrospective large sample size evaluation of potential genetic markers. This study revealed genetic associations of a rare SNP genotype with cervical dysplasia in one of the largest patient sample to date that warrants further investigation.

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